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Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis

Patterns for Patient Engagement with the Hypertension Management and Effects of Electronic Health Care Provider Follow-up on These Patterns: Cluster Analysis

For example, Kaplan et al [24] designed an m Health app to facilitate PE in managing hypertension. The app provides a mobile platform for recording and tracking self-measured BP, periodic reminders to measure BP, and wireless BP measurement devices. Their research resulted in significant improvement in BP for patients and a high level of PE. In the m Health field, complex PE patterns emerge when mobile apps are used for self-management.

Dan Wu, Jiye An, Ping Yu, Hui Lin, Li Ma, Huilong Duan, Ning Deng

J Med Internet Res 2021;23(9):e25630

Pathway-Driven Coordinated Telehealth System for Management of Patients With Single or Multiple Chronic Diseases in China: System Development and Retrospective Study

Pathway-Driven Coordinated Telehealth System for Management of Patients With Single or Multiple Chronic Diseases in China: System Development and Retrospective Study

Figure 4 shows an illustrative example of the decision support process. First, patient data (Patient A in this example) are extracted from the database and then transmitted anonymously to the UCPO to generate instances of classes. Second, according to the disease type of Patient A, the corresponding rule set of the disease would be invoked to make an inference on properties of specific instances.

Zheyu Wang, Jiye An, Hui Lin, Jiaqiang Zhou, Fang Liu, Juan Chen, Huilong Duan, Ning Deng

JMIR Med Inform 2021;9(5):e27228

Using Mobile Health Technology to Deliver a Community-Based Closed-Loop Management System for Chronic Obstructive Pulmonary Disease Patients in Remote Areas of China: Development and Prospective Observational Study

Using Mobile Health Technology to Deliver a Community-Based Closed-Loop Management System for Chronic Obstructive Pulmonary Disease Patients in Remote Areas of China: Development and Prospective Observational Study

Several studies have explored the feasibility of an m Health-based intervention for COPD management in patients during the stable phase. Farmer et al [11] performed a randomized controlled trial with an intervention group using an internet-linked, tablet computer–based system to manage COPD. van der Heijden et al [12] developed a mobile system to predict and detect exacerbation using an oximeter and spirometer.

Ning Deng, Juan Chen, Yiyuan Liu, Shuoshuo Wei, Leiyi Sheng, Rong Lu, Zheyu Wang, Jiarong Zhu, Jiye An, Bei Wang, Hui Lin, Xiuyan Wang, Yumin Zhou, Huilong Duan, Pixin Ran

JMIR Mhealth Uhealth 2020;8(11):e15978

Correction: Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

Correction: Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

In “Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment” (JMIR Mhealth Uhealth 2020;8(2):e14466), there was an error which was not identified during the proofreading stage. The first five sentences and the last word of the Methods subsection in the Abstract were missing in the published paper.

Huilong Duan, Zheyu Wang, Yumeng Ji, Li Ma, Fang Liu, Mingwei Chi, Ning Deng, Jiye An

JMIR Mhealth Uhealth 2020;8(5):e18859

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

Using Natural Language Processing Techniques to Provide Personalized Educational Materials for Chronic Disease Patients in China: Development and Assessment of a Knowledge-Based Health Recommender System

The task of this study was to design and implement an automated recommender system that can discover patients’ potential needs from their health data, and then recommend the most relevant educational materials to them. In addition, we needed to design an assessment method to evaluate system performance. The study was designed based on these tasks. Figure 1 illustrates the overall study design. The complete recommendation process is presented in the dotted box.

Zheyu Wang, Haoce Huang, Liping Cui, Juan Chen, Jiye An, Huilong Duan, Huiqing Ge, Ning Deng

JMIR Med Inform 2020;8(4):e17642

Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

Using Goal-Directed Design to Create a Mobile Health App to Improve Patient Compliance With Hypertension Self-Management: Development and Deployment

The output of this process is an interaction framework definition, which provides a logical and rough structure for the details to come. The refinement phase is similar to the framework definition phase but has an increased focus on details and implementation. Finally, the support phase offers support during and after development because even a very well-conceived and validated design solution cannot possibly anticipate every development challenge and technical question [31].

Huilong Duan, Zheyu Wang, Yumeng Ji, Li Ma, Fang Liu, Mingwei Chi, Ning Deng, Jiye An

JMIR Mhealth Uhealth 2020;8(2):e14466